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. 2021 Oct 11;16(10):e0252846. doi: 10.1371/journal.pone.0252846

Survey and molecular detection of Sri Lankan cassava mosaic virus in Thailand

Kingkan Saokham 1,2, Nuannapa Hemniam 3, Sukanya Roekwan 3, Sirikan Hunsawattanakul 4, Jutathip Thawinampan 3, Wanwisa Siriwan 3,*
Editor: Hanu R Pappu5
PMCID: PMC8504725  PMID: 34634034

Abstract

Cassava plantations in an area of 458 hectares spanning five provinces along the Thailand–Cambodia border were surveyed from October 2018 to July 2019 to determine the prevalence of cassava mosaic disease (CMD) caused by Sri Lankan cassava mosaic virus (SLCMV) in the region. CMD prevalence was 40% in the whole area and 80% in Prachinburi, 43% in Sakaeo, 37% in Burium, 25% in Surin, and 19% in Sisaket provinces. Disease incidence of CMD was highest 43.08% in Sakaeo, followed by 26.78% in Prachinburi, 7% in Burium, 2.58% in Surin, and 1.25% in Sisaket provinces. Disease severity of CMD symptoms was mild chlorosis to moderate mosaic (2–3). The greatest disease severity was recorded in Prachinburi and Sakaeo provinces. Asymptomatic plants were identified in Surin (12%), Prachinburi (5%), Sakaeo (0.2%), and Buriram (0.1%) by PCR analysis. Cassava cultivars CMR-89 and Huai Bong 80 were susceptible to CMD. In 95% of cases, the infection was transmitted by whiteflies (Bemisia tabaci), which were abundant in Sakaeo, Buriram, and Prachinburi but were sparse in Surin; their densities were highest in May and June 2019. Nucleotide sequencing of the mitochondrial cytochrome oxidase 1 (mtCO1) gene of whiteflies in Thailand revealed that it was similar to the mtCO1 gene of Asia II 1 whitefly. Furthermore, the AV1 gene of SLCMV—which encodes the capsid protein—showed 90% nucleotide identity with SLCMV. Phylogenetic analysis of completed nucleotide sequences of DNA-A and DNA-B components of the SLCMV genome determined by rolling circle amplification (RCA) indicated that they were similar to the nucleotide sequence of SLCMV isolates from Thailand, Vietnam, and Cambodia. These results provide important insights into the distribution, impact, and spread of CMD and SLCMV in Thailand.

Background

Cassava is one of the most important food crops cultivated in Southeast Asia [1]. Approximately 55 million tons of cassava are produced in Southeast Asian countries per year, accounting for 30% of the global cassava production and valued at more than 10 million US dollars (USD). Thailand is one of the largest exporters of cassava products in the world and has a production capacity of approximately 31 million tons per year. In 2019, the export value of cassava from Thailand was 2.66 billion USD [2].

Cassava mosaic disease (CMD) caused by cassava mosaic geminivirus (CMV) is one of the most important diseases in Africa, as CMV is among the top 10 viruses affecting economically important crops [3]. The virus has a twinned icosahedral particle morphology and contains two genomic DNA components (DNA-A and DNA-B) [4]. The genome size of DNA-A and DNA-B components ranges from 2.7 to 3.0 kb [5]. CMV, which was first reported in Tanzania [6], belongs to the genus Begomovirus (family Geminiviridae) [7]. Plants affected by CMD have misshapen leaflets with foliar yellow or green mosaic patterns, curls, distortions, and mottling, which reduce the leaflet size and give a general appearance of stunting [8]. The virus is transmitted by whitefly (Bemisia tabaci) and via infected stem cuttings [9]; in Africa, these were shown to reduce the cassava yield by 35–60% and 55–77%, respectively [10]. Although nine CMV species have been reported across Africa and on islands in the Indian Ocean, only two occur in Asia, Indian cassava mosaic virus (ICMV) and Sri Lankan cassava mosaic virus (SLCMV) [11], with only the latter reported in Southeast Asia [12].

CMD emerged in Southeast Asia in 2015 [13]. In 2017, a survey of CMD was conducted in the Cambodian province of Stung Treng, which experienced an SCLMV outbreak despite its distant location from Ratanakiri [13]. Additionally, the Vietnam Academy of Agricultural Sciences Plant Protection Research Institute reported CMD in Tay Ninh province, where it damaged the established crop spanning more than 1200 ha of land in 2017 [14]. Based on a survey conducted in July and August 2018, the Department of Agriculture (DOA) of Thailand identified 22 plants with CMD symptoms in a 2.27-ha cassava plantation in Sisaket and Surin provinces in northeastern Thailand. According to the DOA, the infected plants were subsequently removed. However, CMD currently (2020–2021) affects more than 45,000 ha of the main cassava production area in Thailand [www.forecast-ppsf.doae.go.th] and has already been reported in South China and Laos [15, 16].

The current study presents the outcome of a CMD survey conducted across cassava plantations in five major provinces along the Thailand–Cambodia border from October 2018 to July 2019. We used appropriate and standardized procedures including PCR and DNA sequencing to detect CMD in the tested samples. The results of this survey provide an estimate of the spread and severity of CMD, data on the prevalence of the whitefly vector, and a classification of whitefly biotypes.

Materials and methods

Survey routes and sample collection

The survey was conducted from October 2018 to July 2019. Five major cassava-producing provinces of Thailand (Sisaket, Surin, Buriram, Sakaeo, and Prachinburi) located on the border with Cambodia were surveyed. An area of 458 ha planted with cassava (201 cassava fields) was used to sample cassava plantations in the five provinces (Fig 1). A total of thirty 3- to 6-month old cassava plants were randomly sampled from a 1-ha area of the plantation along two paths intersecting in an “X”; leaves were collected from the plants for PCR detection. The precise location of sampled plants was determined using the global positioning system (Compass Deluxe Navigation, a free application) [16]. The cultivar and age of sampled cassava plants, mode of CMD transmission, symptom severity, and number of whiteflies were noted following a previous study [17] with minor modifications. The size of whitefly populations was determined by counting the numbers of adult whiteflies on the five topmost leaves of each sampled plant [18].

Fig 1. Location of sampling sites of Sri Lankan cassava mosaic virus (SLCMV) in Thailand.

Fig 1

The survey was conducted from October 2018 to July 2019 on 201 cassava fields in Sisaket, Surin, Buriram, Sakaeo, and Prachinburi provinces.

CMD prevalence, incidence, and symptom severity

Incidence of cassava mosaic disease was calculated as the disease prevalence and incidence using the following formulas:

Disease prevalence rate (%) was calculated using the following equation [19]:

Diseaseprevalence=NumberoffieldswithvisiblesymptomsTotalnumberoffieldsobserved×100

Disease incidence (%) was calculated using the following equation:

Plantdiseaseincidence(PDI)=N-nN×100

where N is the total number of observations, and n is the total number of plants with no disease symptoms.

The severity of CMD symptoms was scored on a scale ranging from 1 to 5 (1 = no visible symptoms; 2 = mild chlorosis of the entire leaflet or mild distortion at the base of the leaflet, but overall green and healthy leaves; 3 = moderate mosaicism throughout the leaf, and narrowing and distortion of the lower one-third of the leaflet; 4 = severe mosaic and distortion of two-thirds of the leaflets, with general reduction in leaf size; and 5 = severe mosaicism, with distortion of the entire leaf) [20]. Disease severity index (DSI) was calculated using the following equation:

Plantdiseaseseverity(PDS)=[Sum(classfrequencyxscoreofratingclass]NumberofPlantAssessed×100MaximumScale

Two categories of infection were recognized and recorded as “cutting-borne” by the presence of symptoms on the lowest earliest-formed leaves) and “whitefly-borne” recognized by the presence of symptoms on upper leaves only (S2 Fig).

The latent infection rate (%) was calculated as follows:

Latentinfection=NumberofasymptomaticplantsTotalnumberofplantscollected×100

Adult whiteflies were collected from cassava fields located in Buriram, Sakaeo, and Surin provinces using an aspirator and transferred to 1.5-ml tubes containing 90% ethanol that were stored at −20°C.

Data analysis

A general linear model that considered location as fixed was used. Least square means for disease severity and number of whiteflies were estimated for each location and via cassava cultivars and were compared using Bonferroni t-tests. The data were analyzed using SAS software [21].

DNA extraction and SLCMV detection

DNA was extracted from dried cassava leaves (20 mg) using the modified cetyl trimethylammonium bromide (CTAB) method [22]. Briefly, the leaves were crushed in CTAB buffer using metal beads and incubated at 65°C for 30 min. The homogenized mixture was then added to 700 μl of chloroform:isoamyl alcohol (24:1), and DNA was precipitated using isopropanol alcohol for 3 h. The DNA pellet was washed twice with 70% ethanol and then dried at room temperature for approximately 30 min. The DNA was resuspended in water containing 100 μg/ml RNase (Thermo Fisher Scientific, Waltham, MA, USA) and stored at −20°C. The quality and quantity of the isolated DNA were assessed by agarose gel electrophoresis and spectrophotometry [23].

To isolate DNA from whiteflies, five adults were randomly selected from among those collected at each location. Genomic DNA was isolated as previously described [24], with minor modifications. Briefly, each whitefly was crushed in lysis buffer (200 mM NaCl and 200 mM Tris-HCl [pH 8.0]) containing β-mercaptoethanol and proteinase K (10 mg/ml), and the mixture was incubated at 65°C for 90 min. DNA was recovered by centrifugation.

To detect SLCMV, the AV1 gene (encoding coat protein) was amplified from SLCMV-infected cassava leaf samples by PCR using sequence-specific primers (forward: 5′-GTT GAA GGT ACT TAT TCC C-3′ and reverse: 5′-TAT TAA TAC GGT TGT AAA CGC-3′) designed in our laboratory. A partial fragment of the mitochondrial cytochrome oxidase 1 (mtCO1) gene was amplified from whitefly DNA using the primers C1-J-2195 (5′-TTG ATT TTT TGG TCA TCC AGA AGT-3′) and L2-N-3014 (5′-TCC AAT GCA CTA ATC TGC CAT ATT A-3′) [25], yielding a 1258-bp product.

PCR amplification was performed in a 25-μl reaction volume containing 1× PCR buffer (PCR Biosystems, London, UK), 0.2 μM each of forward and reverse primers, and approximately 50 ng of the DNA template. The thermal cycling conditions for the AV1 gene were as follows: initial denaturation at 94°C for 5 min; 35 cycles of denaturation at 94°C for 40 s, annealing at 55°C for 40 s, and elongation at 72°C for 40 s; and final elongation at 72°C for 5 min. For the mtCO1 gene, the thermal cycling conditions were as follows: initial denaturation at 94°C for 5 min; 35 cycles of denaturation at 94°C for 40 s, annealing at 52°C (mtCO1) for 40 s, and elongation at 72°C for 40 s; and final elongation at 72°C for 5 min.

The amplified PCR products were separated on a 1% agarose gel alongside a 1-kb DNA ladder (Thermo Fisher Scientific) that was stained with RedSafe Nucleic Acid Staining Solution (iNtRON Biotechnology, Sangdaewon, South Korea) in 1× Tris–acetate–EDTA buffer. The gels were visualized using a Gel Doc imaging system (Syngene, Frederick, MD, USA). Confirmed negative and positive controls were included in all assays.

Complete genome characterization of the SLCMV isolate collected in Thailand

The Buri Ram province isolate was selected as a representative of CMV species diversity. The circular DNA of this isolate was obtained by rolling circle amplification (RCA) using phi29 DNA Polymerase (New England Biolabs, Ipswich, MA, USA), according to the manufacturer’s instructions. The RCA product was digested with restriction endonucleases, and a ~2.7-kb fragment (the expected size of DNA-A and DNA-B fragments of SLCMV) was amplified from the digestion products. The DNA-A and DNA-B fragments were purified and cloned into the pGEM-T Easy vector (Promega, Madison, WI, USA) and then transformed into Escherichia coli strain DH5α cells by the heat shock method. The cloned inserts were sequenced in their entirety by primer walking (S1 Fig).

Sequencing and phylogenetic analysis

Nucleotide sequences of the amplified fragments were searched in the National Center for Biotechnology Information database using BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi). Multiple sequence alignment of the nucleotide sequences was performed using Molecular Evolutionary Genetics Analysis version X (MEGA X; http://www.megasoftware.net/) [26]. Phylogenetic trees were constructed in MEGA X using the neighbor-joining method with 1000 bootstrap replications.

Results

SLCMV diagnosis and symptom analysis

Field data collected during the survey are summarized in S1 Table. Survey locations were mapped using QGIS (Fig 1). The CMD prevalence data indicated that 80 cassava fields (40%) were infected with CMV. Severe CMD infection was identified in Prachinburi and Sakaeo provinces, whereas fields in Sisaket, Surin, and Buriram provinces showed mild infection. CMD prevalence was 80% in Prachinburi, 43% in Sakaeo, 37% in Burium, 25% in Surin, and 19% in Sisaket provinces (Table 1). Single leaves were collected from 6,120 cassava plants across 201 fields; 1434 were found to contain the virus by PCR analysis. The highest infection rate was in Sakaeo province (61.7%), followed by Prachinburi (20%), Surin (13%), Buriram (4.5%), and Sisaket (0.8%) provinces.

Table 1. Field spread of CMD in Thailand based on a survey conducted across five provinces.

Province Number of fields surveyeda/Incidenceb Disease prevalence (%) c Incidence (%) Latent infection (%) d Disease severitye PCR positive (%) f Source of infection (%) Average whitefly number/plant Cultivarg
Cutting Whitefly
Prachinburi 30 (96.2)/24 (67.4) 80 26.78 5 2.54±0.19a 20 11.6 88.4 3.37±1.51a CMR-89, Rayong 72, Rayong 11, Rayong 9 and Huai Bong 80
Sakaeo 65 (148)/28 (59.2) 43 43.08 0.2 2.15±0.13a 61.7 1 99 5.19±1.02a CMR-89, Rayong 72, Rayong 11, Kasetsart 50, Rayong 9 and Huai Bong 80
Buriram 30 (102.4)/11 (28.8) 37 7 0.1 1.99±0.19ab 4.5 0 100 4.09±1.51a CMR-89, Rayong 72 and Kasetsart 50
Surin 44 (49)/11 (9.6) 25 2.58 12 1.40±0.16bc 13 56 44 0.32±1.24b CMR-89, Rayong 72 and Kasetsart 50
Sisaket 32 (63)/6 (4.5) 19 1.25 0 1.21±1.88c 0.8 33.4 66.6 0.45±1.46b CMR-89, Rayong 72 and Kasetsart 50

a Number of fields visited (number of area (ha)),

b Percentage number fields of incidence (number of area (ha)),

c Percentage of prevalence,

d Percentage of latent infection,

eMean CMD severity scores are based on the standard 1 to 5 CMD scoring scale, where 1 = no symptoms and 5 = severe mosaic with distortion of entire leaf,

fResult of Positive PCR (Terry 1975) and

gCultivars that showed infection are underlined.

Infected cassava plants showed at least one of the typical CMD foliar symptoms such as green or yellow mosaic pattern, leaflet curling, and leaflet narrowing with distortion. Disease transmitted through infected stems caused symptoms in the whole plant, whereas transmission by whiteflies caused symptoms in only the top part of the plant (S2 Fig) [17]. Approximately 95% of the CMD incidence was attributable to whiteflies, with stem cuttings being responsible for 5% of infections. Stem cutting- and whitefly-borne infections were observed in the same plot. CMD symptoms typically appear 3–5 weeks after infection [27].

There was also a strong relationship between the mode of infection and whitefly populations. CMD was mainly spread by whiteflies, especially in Sakaeo, Prachinburi, and Buriram provinces, and there was no significant difference in disease incidence between Sisaket and Surin provinces (Table 1).

SLCMV symptom severity

Disease severity varied significantly between provinces (p<0.05). Disease severity was highest in Prachinburi and Sakaeo provinces and low in Sisaket province (Table 1). Plant age was correlated with the severity of disease symptoms. For example, 1- to 3-month-old infected plants had an average severity of 3.75 (moderate to severe mosaicism), whereas 5- to 7-month-old plants had an average severity score of 2.58 (mild chlorosis). Symptoms caused by cutting-borne disease were more severe than those caused by whitefly-borne infection.

Asymptomatic plants were detected in 22 (11%) cassava fields, especially in Surin (12%), Prachinburi (5%), and Sakaeo (0.2%) provinces. The lowest proportion of asymptomatic plants (0.1%) was in Buriram province.

We also surveyed cassava cultivars grown in the study area. Six cassava cultivars were identified on the surveyed route (Huai Bong 80, Rayong 9, Rayong 11, Rayong 72, Kasetsart 50, and CMR-89). Many farmers planted several cultivars in a single plot. The CMR-89 cultivar was the most common in the surveyed area, accounting for approximately 53% of the total area, followed by Rayong 72 (36%) and Kasetsart 50 (5%). Disease severity significantly differed (p<0.05) between cultivars: it was moderate in Huai Bong 80 and CMR-89 but low in Kasetsart 50 and Rayong 72 (Table 2). The main mode of transmission in all cassava cultivars was via whiteflies.

Table 2. Proportion of cutting and whitefly-borne infection observed in cassava commercial cultivars in Thailand.

Cultivar CMD incidencea (%) Disease prevalenceb (%) Number of infected fieldsd /Number of fields surveyedc Latent infectione (%) CMD incidence of infection typef (%) Mean CMD severityg
Cutting Whitefly
CMR-89 30.46 50 53/106 5.14 2.5 97.5 2.13±0.11a
Rayong 72 3.98 26.76 19/71 1.7 15 85 1.51±0.14b
Kasetsart 50 9.09 9.09 1/11 0 6.67 93.33 1.21±0.33b
Rayong 11 40 40 2/5 0 23.33 76.67 2.03±0.50ab
Rayong 9 1.67 25 1/4 0 50 50 1.50±0.55ab
Huaibong 80 35.56 100 4/4 0 15.63 84.37 3.24±0.56a

a Percentage of disease incidence,

b Percentage of prevalence,

c Number of fields surveyed,

d Number of infected fields,

e Percentage of infection,

f Percentage of CMD incidence of infection type and

g Mean CMD severity scores are based on the standard 1 to 5 CMD scoring scale,

where 1 = no symptoms and 5 = severe mosaic with distortion of entire leaf,

fResult of Positive PCR [46].

Assessment of whitefly population size

Whitefly nymphs and adults were collected from the abaxial surface of the five topmost leaves of cassava plants. The nymphs had a flattened oval shape and resembled scaly insects. The average number of whiteflies significantly differed (p<0.05) between provinces. The population density was high in Sakaeo, Buriram, and Prachinburi provinces but low in Sisaket and Surin provinces (Table 1).

The survey was conducted from October 2018 to July 2019, which spans the cold season (October–February), summer season (March), and rainy season (July). The number of whiteflies was high from May to July, with an average of 11.77, 10.6, and 6.59 per plant in May, June, and July, respectively; the average numbers were low from December to March.

Amplification, sequencing, and phylogenetic analysis of the whitefly mtCO1 gene

The nucleotide sequence of the mtCO1 gene amplified from the DNA of whiteflies collected from Surin, Sakaeo, and Burirum provinces have been deposited in the DNA Data Bank of Japan (DDBJ) under accession numbers LC579572, LC579573, and LC579574, respectively. The mtCO1 gene amplified from whiteflies in these provinces showed 99% sequence similarity to that of B. tabaci Asia II 1. Phylogenetic analysis of the mtCO1 sequences of B. tabaci from Thailand showed that they grouped closely with reference sequences determined for a large number of Asia II 1 species collected from other regions in the world (Fig 2).

Fig 2. Phylogenetic analysis of the nucleotide sequences of the mtCOI gene (length = 867 bp) of whitefly (Bemisia tabaci) collected from Surin (LC579572), Sakaeo (LC579573), and Buriram provinces (LC579574) in Thailand and that of other whitefly species.

Fig 2

Vertical distances are arbitrary. Horizontal distances are proportional to the calculated mutation distances. Numbers at nodes represent percent bootstrap confidence scores (1,000 replicates). The mtCOI gene of B. tabaci collected in this study clustered with that of Middle East Asia Minor 1 (MEAM1), Mediterranean (MED), New World, Asia 1, China 1, Asia II 7, Asia II 1, Asia II 3, and New World 2 species available in GenBank.

PCR-based detection of CMV

PCR products were amplified from 1434 of 6120 samples collected from the five provinces using AV1-specific primers (S3 Fig). Of the 1434 PCR-positive samples, 61.7% were collected from Sakaeo, 20% from Prachinburi, 13% from Surin, 4.5% from Buriram, and 0.8% from Sisaket provinces. The PCR results also revealed that 205 samples harbored a latent infection; of these cases, samples from Surin and Buriram provinces showed the highest and lowest percent infection rates, respectively, whereas no latent infection was detected in plant samples from Sisaket province. Additionally, among the different cultivars, latent infection was detected in CMR-89 and Rayong 72 but not in Kasetsart 50, Rayong 9, Rayong 11, and Huaibong 80.

Whole-genome sequence of SLCMV

The complete genomic DNA sequence of the Burirum SLCMV isolate was obtained by RCA, and nucleotides sequences of DNA-A and DNA-B were submitted to the DDBJ under accession numbers LC586845 and LC588395, respectively. A BLAST search revealed that the DNA-A and DNA-B nucleotide sequences of the Burirum isolate were identical to those of previously characterized SLCMV isolates, with the highest sequence identity (99%) to isolates from Prachinburi (MN026159) [16].

We also conducted a phylogenetic analysis of the whole genome sequence of the Burirum SLCMV isolate. The phylogenetic tree indicated that the SLCMV isolates collected in our study belonged to the same species and were closely related to isolates from Vietnam (GenBank accession numbers LC312131 and LC312130); Cambodia (KT861468 and KT861469); Thailand (MN577578, MN954656, MT017511, MN026160, MN544647, MN577579, MN577575, MN577577, MN026159, MN577580, MN544648, and MN026161), China (MH891840, MN688216, MN688251, and MN688217); and India (AJ890228, KF898349, AJ607394, KC424490, KU550961, MK404226, and AY730036) (Figs 3 and 4).

Fig 3. Phylogenetic analysis of the nucleotide sequences of the DNA-A component of the Sri Lankan cassava mosaic virus (SLCMV) isolate collected from Buriram province (LC586845) and that of other CMV species.

Fig 3

Vertical distances are arbitrary. Horizontal distances are proportional to the calculated mutation distances. Numbers at nodes represent percent bootstrap confidence scores (1,000 replicates). ICMV, Indian cassava mosaic virus; CMMGV, Cassava mosaic Madagascar virus; SACMV, South African cassava mosaic virus; EACMZV, East African cassava mosaic Zanzibar virus; EACMKV, East African cassava mosaic Kenya virus; EACMCV, East African cassava mosaic Cameroon virus; EACMV, East African cassava mosaic virus; EACMMV, East African cassava mosaic Malawi virus.

Fig 4. Phylogenetic analysis of the nucleotide sequences of the DNA-B component of the SLCMV isolate collected from Buriram province (LC588395) and that of other CMV species.

Fig 4

Vertical distances are arbitrary. Horizontal distances are proportional to the calculated mutation distances. Numbers at nodes represent percent bootstrap confidence scores (1,000 replicates). ICMV, Indian cassava mosaic virus; ACMV, African cassava mosaic virus; ACMBFV, African cassava mosaic Burkina Faso virus; EACMCV, East African cassava mosaic Cameroon virus; CMMGV, Cassava mosaic Madagascar virus; EACMZV, East African cassava mosaic Zanzibar virus; EACMMV, East African cassava mosaic Malawi virus; SACMV, South African cassava mosaic virus; EACMV, East African cassava mosaic virus; EACMKV, East African cassava mosaic Kenya virus.

Discussion

We surveyed CMD incidence and whitefly populations in an area where CMD has been previously reported as well as in new cassava plantations along the Thailand–Cambodia border. CMD was detected in some locations in five provinces where the disease was thought to have been eradicated by the DOA. Although the extent of the geographic area is an important factor affecting the eradication of CMD, other factors should also be considered such as planting distance, geographic location, mode of infection, and whitefly numbers [11].

A CMD outbreak was reported in Stung Treng province, Cambodia in 2016–2017 [13]. Stung Treng is located approximately 300 km from the Thailand border. Thailand is the main distributor of cassava to Cambodia, Laos, and other Southeast Asian countries [28]. CMD could rapidly spread through infected plant material transported across this region. We determined that the CMD outbreak in Thailand was initially caused by infected stem cuttings (primary infection source), and the second wave of the epidemic was caused by CMV transmitted via whiteflies. In Africa, CMD epidemics have been primarily driven by whiteflies [8, 11, 29, 30]; however, in Asia, whiteflies appear to play a secondary role in the spread of CMD. Nonetheless, the results of epidemiologic studies in Ivory Coast, Kenya, and Uganda support our speculation that the spread of CMD into and within the experimental cassava cultivation area was directly related to the number of adult whiteflies present and to the incidence of CMD, as determined by the locality or administrative district where the trials were carried out and where CMD dissemination was widespread. Any subsequent spread of CMD is attributable to the viruliferous whiteflies moving between or within planting areas after acquiring the virus from cassava plants grown from infected cuttings or infected by whiteflies during growth [29, 31].

The region bordering Thailand and Cambodia is rich in forests and high mountains, which act as a natural barrier to the movement of whiteflies. It is possible that the incidence of CMD in Thailand near the Cambodian border was caused by the exchange of infected cassava planting material among local populations.

Disease incidence is related to fluctuations in the whitefly population due to environmental factors such as rainfall, wind, and temperature [10]. We found a large number of whiteflies in Prachinburi and Sakaeo provinces, consistent with the disease incidence rates in these provinces (Table 1). Furthermore, whitefly population size impacts the spread of CMD, as whiteflies can travel distances of up to 100 km a year [8], with an estimated flight speed of approximately 0.2 m/s [10]. During its life cycle of approximately 30–40 days, a female whitefly lays up to 300 eggs on the abaxial surface of leaves [32]. Temperature, humidity, and rainfall influence the population size of adult whiteflies. Conditions that are conducive to an increase in whitefly numbers include temperatures <35°C and a relative humidity of approximately 65–73% [15]. Whitefly density was the highest in May, followed by June and July. May marks the beginning of the rainy season in Thailand, with temperatures <30°C and approximately 64% relative humidity [33]. We therefore propose that farmers should be persuaded to modify their traditional planting practices—which include planting soon after the onset of the rainy season—to avoid high disease incidence caused by abundant whitefly populations.

We found that most of the infections were caused by whitefly, which influenced the spread of CMD in the surveyed area. CMV transmitted by whiteflies has caused CMD not only in Thailand but also in Africa since the 16th century [34]. Understanding the ecological and biological characteristics of whiteflies can aid the prediction of future CMD epidemics according to weather data, thereby facilitating disease management [17].

Disease severity is affected by virus strain, plant age, plant genotype, and environmental conditions [35]. In CMD-resistant varieties, the appearance of symptoms in leaves is influenced to a greater extent by cooler temperatures than by hot weather [36]. Moreover, symptoms are exacerbated in plants regenerated from infected planting material. In this study, CMR-89 was susceptible to CMD (>70% disease incidence) and showed the highest disease severity among the seven tested cultivars. Although CMR-89 is not a DOA-certified cultivar, it is grown in approximately 22% of cassava plantations in Thailand (Office Agricultural Economics 2018). In one study that screened CMD resistance in cassava cultivars by grafting, CMR-89 and Rayong 11 were found to be susceptible to CMD, whereas Kasetsart 50, Rayong 72, and Huai Bong 60 showed moderate resistance [37]. Discontinuing the cultivation of CMR-89 and promoting the cultivation of CMD-tolerant or moderately resistant cultivars is critical for controlling this disease.

The pattern of CMD spread differed depending on the mode of transmission. Most cassava plants infected by whiteflies were located at the edge of the plot, with the infection then spreading inward. Whitefly density was especially high in newly planted cassava stands located close to mature cassava plants. Similar cases have been reported in several countries in East and West Africa, where new cassava plantings were colonized by whitefly populations immigrating from older cassava stands in the area. The immigrant whiteflies reproduced and reached their peak population size within a few months, and before the population declined adults dispersed to younger cassava plants [3840]. Thus, the whitefly count can be useful for predicting and controlling the spread of CMD, and farmers should frequently monitor their cassava plants and whitefly populations.

CMD has been reported in several Southeast Asian countries. SLCMV has been detected in cassava fields in Thailand, and similar viruses have been reported in Cambodia, Vietnam, and China [13, 16, 41]. CMD was reported in Thailand in 2018 after its occurrence in Cambodia and Vietnam. The viral strain identified in this study has the same origin as that first reported in Ratanakiri, Cambodia, and other studies conducted in Thailand [16, 42].

The Rep protein encoded by DNA-A of the Burirum SLCMV isolate had seven additional amino residues at its C-terminal end. This 7-amino-acid motif is essential for the accumulation of the Rep protein and virulence of SLCMV [12]. The genomes of SLCMV isolates from Southern India, Sri Lanka, and Southeast Asia were not recombinant but harbored a point mutation [16]. Additionally, SLCMV isolates from Southeast Asia, China, and India clustered together in a separate group from the original SLCMV isolate from Colombo, Sri Lanka (AJ314737) [4] (Fig 3). Further investigation is needed to determine the host range of SLCMV, clarify the mechanisms of transreplication of its DNA components, and identify the genetic determinants of symptoms.

According to the phylogenetic analysis, the partial coding sequence of mtCO1 of B. tabaci from Thailand was classified as an Asia II 1 cryptic species. Asia II 1 whiteflies readily transmit SLCMV, whereas Middle East Asia Minor 1 and Mediterranean whiteflies are poor vectors of the virus [43]. Thus, the potential for virus transmission is associated with the virus and whitefly species. In cassava fields in southern Vietnam, multiple indigenous whitefly species have been identified including Asia 1, Asia II 1, and Asia II 6 [44]. An Asia II 1 cryptic species was shown to efficiently transmit cotton leaf curl Multan virus (CLCuMuV) [45]. Therefore, in an area where Asia II 1 species are predominant, the implementation of phytosanitary measures and rouging may not be sufficient for limiting the spread of the virus. Further research is needed on the control virus transmission by indigenous whitefly species to facilitate the development of durable control strategies. The Asia II 1 species shows a very high level of insecticide resistance [46], which must be taken into account in whitefly population management.

Based on our results, we propose the following basic approaches for controlling the outbreak and spread of CMD: 1) educate farmers and agricultural extension officers about CMD, including how to distinguish CMD symptoms from mineral deficiency or herbicide toxicity; 2) develop CMD-resistant cassava varieties and cultivate them on a sufficiently large scale; 3) practice phytosanitary techniques such as the use of CMD-free planting material and removal (rouging) of diseased plants; and 4) avoid planting cassava varieties susceptible to CMD such as CMR-89 and Rayong 11, especially in high-risk areas.

Conclusion

We surveyed the spread of CMD in five major cassava-producing provinces of Thailand along the border with Cambodia. This is the first survey to report patterns of CMD spread, disease incidence and severity, and whitefly density in Thailand. This information will aid the development of disease management strategies to reduce the spread of CMD in affected areas. Although conducting surveys is costly and time-consuming, the information that is obtained is critical for disease epidemiology.

Supporting information

S1 Fig. Schematic showing the whole-genome sequence of Sri Lankan cassava mosaic virus (SLCMV) using the primer walking approach.

(PDF)

S2 Fig. Symptoms of cassava mosaic disease in cassava-infected plants.

A) CMD transmitted through infected stem, B) CMD transmitted by B. tabaci.

(TIF)

S3 Fig. PCR products of the AV1 gene using SLCMV specific primers.

DNA gel electrophoresis of PCR amplification from cassava samples.

(TIF)

S1 Table. Field data collected during the survey, including field location, cassava cultivar, mode of infection, and disease severity.

(XLSX)

S2 Table. Dataset of disease severity in cassava cultivars during the survey.

(XLSX)

Data Availability

All relevant data are within the paper and its Supporting information files.

Funding Statement

The authors received funding by the Center of Excellence on Agricultural Biotechnology, Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation. (AG-BIO/MHESI) and Thai Tapioca Development Institute (TTDI), Thailand. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

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Decision Letter 0

Hanu R Pappu

2 Jul 2021

PONE-D-21-16747

Survey and Molecular Detection of Sri Lankan Cassava Mosaic Virus in Thailand

PLOS ONE

Dear Dr. Siriwan,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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Tapioca Development Institute (TTDI), Thailand."

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

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[Note: HTML markup is below. Please do not edit.]

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Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

Reviewer #3: No

**********

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Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Abstract:

“Cassava plantations in an area of 458 ha spanning five province….” do not use unit abbreviations in abstract.

“Disease severity was generally scored as 2–3….” Based on which scale? Mention either disease severity index value or disease incidence.

“Prachinburi but was sparse in Surin, with the largest populations observed in May and June…” Mention year with months.

Materials and Methods section describes more about disease incidence and its prevalence. The author has used formulas from incidence and prevalence to assess the disease score. However, the “SLCMV prevalence and symptom severity” heading under result section is focusing on the data based on disease severity index (DSI) and prevalence. It is better to add DSI formula under the materials and methods. Further use separate heading for DSI data under result section.

Author should provide supplementary data including gel images for PCR based detection of CMV.

Page 11. “At the first inspection, we found four plants infected by stem cuttings; in the second visit, 10 plants show CMD symptoms on the top 4–6 leaves; and in the last inspection, 15 plants were infected by whiteflies. This phenomenon was observed not only in Surin but also in other

provinces included in the survey….” Provide supplementary data including images or pictures collected for this CMD infection on leaves.

Overall, there are minor grammatical problems throughout the manuscript. Read the manuscript thoroughly before re-submission.

Reviewer #2: Abstract:

Sentence 7 should read: In 95% of cases, the infection was due to virus transmission by whitefly……..

Sentence 9: “Furthermore, the AV1 gene ………….” Please clarify the AV1 gene of which virus?

Background:

Paragraph 1:

The first sentence needs to be referenced.

It’s not clear from the last sentence in the paragraph whether the export value of 2.66 billion USD refers to Thailand.

Paragraph 2:

The first sentence is not clearly expressed. It can be changed to read “ Cassava mosaic disease (CMD) caused by cassava mosaic geminivirus (CMV) is one of the most important diseases in Africa with CMV being among the top 10 viruses affecting economically important crops.”

The second sentence must be followed by the fourth sentence. The authors must then say something about the genome size of CMV.

In sentence 5, authors must state the mode of transmission of the virus by whitefly.

Last sentence: Replace word “including” with a semi-colon. Indian cassava mosaic virus must be followed by virus acronym in brackets.

Paragraph 3:

The first sentence does not make sense. CMD emerged 2016-2017 after being reported in North East Cambodia in 2015! This disparity needs to be reconciled

Materials and Methods:

A map to show the areas survey will be good.

DNA extraction and SLCMV detection:

It is not clear whether the PCR thermal cycling conditions described are for detecting the SLCMV AV1 gene or the whitefly mtCO1 gene. Authors must differentiate between the conditions for the two genes.

Complete genome characterization of the SLCMV isolate …..

The authors must explain why the Burian province isolate was selected as the representative sample for whole genome sequencing.

Results:

SLCMV diagnosis and symptom analysis:

First sentence: The Supplementary table S1 is showing primer sequences not survey data as stated in the first sentence. This needs to be corrected.

Second paragraph:

Authors can show pictures of the difference between cutting-borne and whitefly-borne symptoms. A picture speaks a thousand words.

Third paragraph:

The whole paragraph needs to be re-written. It is not clearly explained how the authors determined that the first symptoms were due to cutting-borne infections and the later ones were due to white-borne infections.

Assessment of whitefly population size:

Paragraph 2:

Authors need to explain what they mean by “two month old plants facilitated whitefly counting”

Discussion:

Paragraph 1:

First sentence should read: “We surveyed for CMD incidence and whitefly population in an area where CMD had previously been reported…….”

Paragraph 2:

Second sentence should read: “Steng Teng is situated approximately ………”

Paragraph 6:

First sentence is stating the very obvious. What is the point the authors are making here?

Reviewer #3: Specific comments

Page 16: “SLCMV prevalence and symptom severity”. Authors have carried out PCR diagnoses for the presence of viruses in their field-collected samples. They have used pair of primer specific for SLCMV. However, PCR with SLCMV specific primer could also amplify other closely related begomoviruses. Wondering, how do they rule out this?

Page 19: “Whole-genome sequence of SLCMV”. Out of 6120 samples collected from different provinces, they have detected the presence of SLCMV in 1434 samples by PCR using AV1-specific primers. Later, the authors have mentioned that they have cloned and sequenced full-length viral genome. How many full-length viruses did they cloned and sequenced? How many samples did they choose for each province for full-length virus cloning and sequencing?

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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PLoS One. 2021 Oct 11;16(10):e0252846. doi: 10.1371/journal.pone.0252846.r002

Author response to Decision Letter 0


3 Aug 2021

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. In your Methods section, please provide additional information regarding the permits you obtained for the work. Please ensure you have included the full name of the authority that approved the field site access and, if no permits were required, a brief statement explaining why.

No permit was required for cassava fields because cassava is economic plant in Thailand. In case, researches involve in National Park, wild animal, special conservation plant species and Plant varieties protection etc.

Cassava mosaic disease was emerging disease in Thailand during our survey. Department of Agriculture (DOA) needed partner to survey and identified disease, we were one group of researches to join them. However, we needed to report DOA every time after disease was found. The survey data also recorded by DOA for reporting FAO.

3. In your Methods section, please provide additional location information, including geographic coordinates for the data set if available.

We provided additional location information including latitude and longitude. This information presented as Supplementary data Table.

4. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

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"This study was supported by the Center of Excellence on Agricultural Biotechnology,

Science and Technology Postgraduate Education and Research Development Office, Office

of Higher Education Commission, Ministry of Education (AG-BIO/PERDO-CHE) and Thai

Tapioca Development Institute (TTDI), Thailand."

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

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manuscript."

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

The Acknowledgments Section already remove from revised Manuscript.

Please add Funding Statement section of the online submission form as

“The authors received funding by the Center of Excellence on Agricultural Biotechnology,

Science and Technology Postgraduate Education and Research Development Office, Office of Higher Education Commission, Ministry of Education (AG-BIO/PERDO-CHE) and Thai Tapioca Development Institute (TTDI), Thailand. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the

manuscript."

6. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files.

We already included tables in the Revised Manuscript and removed the individual files as recommend.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Partly

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

Reviewer #3: No

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: Yes

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Abstract:

“Cassava plantations in an area of 458 ha spanning five province….” do not use unit abbreviations in abstract.

The recommend has fix as mention.

“Disease severity was generally scored as 2–3….” Based on which scale?

The severity score based on 1-5 scale

1=no visible symptoms;

2=mild chlorosis of the entire leaflet or mild distortion at the base of the leaflet, but overall green and healthy leaves;

3=moderate mosaicism throughout the leaf, and narrowing and distortion of the lower one-third of the leaflet;

4=severe mosaic and distortion of two-thirds of the leaflets, with general reduction in leaf size;

5=severe mosaicism, with distortion of the entire leaf

Mention either disease severity index value or disease incidence.

Disease incidence of each province was added in the abstract as recommend.

“Prachinburi but was sparse in Surin, with the largest populations observed in May and June…” Mention year with months.

The recommend has fix as mention.

Materials and Methods section describes more about disease incidence and its prevalence. The author has used formulas from incidence and prevalence to assess the disease score. However, the “SLCMV prevalence and symptom severity” heading under result section is focusing on the data based on disease severity index (DSI) and prevalence. It is better to add DSI formula under the materials and methods. Further use separate heading for DSI data under result section.

Done as recommended from reviewer

Author should provide supplementary data including gel images for PCR based detection of CMV.

The representative of gel images for PCR based detection of CMD was provided in supplementary data.

Page 11. “At the first inspection, we found four plants infected by stem cuttings; in the second visit, 10 plants show CMD symptoms on the top 4–6 leaves; and in the last inspection, 15 plants were infected by whiteflies. This phenomenon was observed not only in Surin but also in other provinces included in the survey….” Provide supplementary data including images or pictures collected for this CMD infection on leaves.

We had technical problem for images and pictures collection of this incidence. We determined to remove this paragraph to avoid suspicion issues that may happen.

Overall, there are minor grammatical problems throughout the manuscript. Read the manuscript thoroughly before re-submission.

Reviewer #2: Abstract:

Sentence 7 should read: In 95% of cases, the infection was due to virus transmission by whitefly……..

The recommend has fix as mention.

Sentence 9: “Furthermore, the AV1 gene ………….” Please clarify the AV1 gene of which virus?

The recommend has fix as mention. There was identified AV1 gene of SLCMV.

Background:

Paragraph 1:

The first sentence needs to be referenced.

The reference was added

It’s not clear from the last sentence in the paragraph whether the export value of 2.66 billion USD refers to Thailand.

Yes, I was referred to Thailand. Sentence had revised to be clear.

Paragraph 2:

The first sentence is not clearly expressed. It can be changed to read “Cassava mosaic disease (CMD) caused by cassava mosaic geminivirus (CMV) is one of the most important diseases in Africa with CMV being among the top 10 viruses affecting economically important crops.”

The recommend has fix as mention.

The second sentence must be followed by the fourth sentence. The authors must then say something about the genome size of CMV.

The recommend has fix as mention.

In sentence 5, authors must state the mode of transmission of the virus by whitefly.

Last sentence: Replace word “including” with a semi-colon. Indian cassava mosaic virus must be followed by virus acronym in brackets.

The recommend has fix as mention.

Paragraph 3:

The first sentence does not make sense. CMD emerged 2016-2017 after being reported in North East Cambodia in 2015! This disparity needs to be reconciled

The recommend has fix as mention.

Materials and Methods:

A map to show the areas survey will be good.

Surveyed map was added in the manuscript.

DNA extraction and SLCMV detection:

It is not clear whether the PCR thermal cycling conditions described are for detecting the SLCMV AV1 gene or the whitefly mtCO1 gene. Authors must differentiate between the conditions for the two genes.

The PCR thermal cycling conditions of SLCMV detection and mtCO1 gene were separately describe as recommended.

Complete genome characterization of the SLCMV isolate …..

The authors must explain why the Burian province isolate was selected as the representative sample for whole genome sequencing.

The main reasons why we identified whole genome of SLCMV in Buri Ram province. First, during that time SLCMV Buri Ram province not yet identified whole genome, while whole genome of SLCMV from Sisaket, Surin, Sakaeo and Prachin Buri provinces were identified by another groups. Second, SLCMV infected plants were discover by our survey team before announcement from Department of Agriculture (DOA), Thailand.

Results:

SLCMV diagnosis and symptom analysis:

First sentence: The Supplementary table S1 is showing primer sequences not survey data as stated in the first sentence. This needs to be corrected.

The recommend has fix as mention.

Second paragraph:

Authors can show pictures of the difference between cutting-borne and whitefly-borne symptoms. A picture speaks a thousand words.

A picture of the difference between cutting-borne and whitefly-borne symptoms was provided as Fig.??

Third paragraph:

The whole paragraph needs to be re-written. It is not clearly explained how the authors determined that the first symptoms were due to cutting-borne infections and the later ones were due to white-borne infections.

We made a decision to remove this paragraph to avoid misunderstand from readers.

Assessment of whitefly population size:

Paragraph 2:

Authors need to explain what they mean by “two month old plants facilitated whitefly counting”

In this survey, we counted B. tabaci in cassava fields that were 2-4 months old. According to previous researches were presented below.

B. tabaci populations have consistently been reported to peak three to six months after planting, before declining more or less rapidly to a relatively low level for the remainder of the crop life [1]. Whitefly population also reduce when plant more matured. They recommenced to counting whitefly population in cassava plant at 30-60 days after planting. One of another research presented that the association between number of cassava leaf and B. tabaci population change, with increases in number of whiteflies occurring during periods of rapid cassava growth [1].

Discussion:

Paragraph 1:

First sentence should read: “We surveyed for CMD incidence and whitefly population in an area where CMD had previously been reported…….”

The recommend has fix as mention.

Paragraph 2:

Second sentence should read: “Steng Teng is situated approximately ………”

The recommend has fix as mention.

Paragraph 6:

First sentence is stating the very obvious. What is the point the authors are making here?

We removed that sentence to avoid miss understanding to readers. The recommend has fix as mention.

Reviewer #3: Specific comments

Page 16: “SLCMV prevalence and symptom severity”. Authors have carried out PCR diagnoses for the presence of viruses in their field-collected samples. They have used pair of primer specific for SLCMV. However, PCR with SLCMV specific primer could also amplify other closely related begomoviruses. Wondering, how do they rule out this?

We also wondering if they had difference CMV stains outbreak in Thailand during this survey, SLCMV specific primers could not identified. We make sure by analyzed partial DNA sequencing. The samples for analyzed DNA sequencing random sampling from 10% of samples in each province. The result of DNA sequencing show all were SLCMV. In addition, we are continue monitoring CMD situation in Thailand, Cambodia, Vietnam and China. Lucky, only SLCMV has been report.

Page 19: “Whole-genome sequence of SLCMV”. Out of 6120 samples collected from different provinces, they have detected the presence of SLCMV in 1434 samples by PCR using AV1-specific primers. Later, the authors have mentioned that they have cloned and sequenced full-length viral genome. How many full-length viruses did they cloned and sequenced? How many samples did they choose for each province for full-length virus cloning and sequencing?

We cloned one full length virus genome and sequenced.

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reference

1. Legg J. Bemisia Tabaci: The Whitefly Vector of Cassava Mosaic Geminiviruses in Africa: An Ecological Perspective. African Crop Science Journal (ISSN: 1021-9730) Vol 2 Num 4. 1994;2.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Hanu R Pappu

28 Sep 2021

Survey and Molecular Detection of Sri Lankan Cassava Mosaic Virus in Thailand

PONE-D-21-16747R1

Dear Dr. Siriwan,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Hanu R Pappu

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Hanu R Pappu

1 Oct 2021

PONE-D-21-16747R1

Survey and Molecular Detection of Sri Lankan Cassava Mosaic Virus in Thailand

Dear Dr. Siriwan:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Hanu R Pappu

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Schematic showing the whole-genome sequence of Sri Lankan cassava mosaic virus (SLCMV) using the primer walking approach.

    (PDF)

    S2 Fig. Symptoms of cassava mosaic disease in cassava-infected plants.

    A) CMD transmitted through infected stem, B) CMD transmitted by B. tabaci.

    (TIF)

    S3 Fig. PCR products of the AV1 gene using SLCMV specific primers.

    DNA gel electrophoresis of PCR amplification from cassava samples.

    (TIF)

    S1 Table. Field data collected during the survey, including field location, cassava cultivar, mode of infection, and disease severity.

    (XLSX)

    S2 Table. Dataset of disease severity in cassava cultivars during the survey.

    (XLSX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting information files.


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